feat(cpp-object-oriented-modular-refactoring): step 3 - foundation-google-style

This commit is contained in:
KOKO\Mimi
2026-08-16 04:26:14 +09:00
parent 2628ed3488
commit 042edadffb
93 changed files with 3144 additions and 3175 deletions
+66 -69
View File
@@ -1,4 +1,4 @@
#include "fesa/math/vector.hpp"
#include "fesa/math/vector.h"
#include <mkl.h>
@@ -9,111 +9,108 @@
namespace fesa {
namespace {
MKL_INT toMklSize(const std::size_t size) {
if (size > static_cast<std::size_t>((std::numeric_limits<MKL_INT>::max)())) {
throw std::length_error{"Dense vector size exceeds the MKL integer range."};
}
return static_cast<MKL_INT>(size);
/// @brief Converts a dense vector size to the private MKL integer contract.
MKL_INT ToMklSize(const std::size_t size) {
if (size > static_cast<std::size_t>((std::numeric_limits<MKL_INT>::max)())) {
throw std::length_error{"Dense vector size exceeds the MKL integer range."};
}
return static_cast<MKL_INT>(size);
}
void copyValues(const std::vector<double>& source, std::vector<double>& destination) {
if (source.empty()) {
return;
}
/// @brief Copies owned values without exposing the dense backend publicly.
void CopyValues(const std::vector<double>& source,
std::vector<double>& destination) {
if (source.empty()) {
return;
}
// Keep the backend operation in this translation unit so public ownership
// remains independent of MKL headers and integer types.
cblas_dcopy(toMklSize(source.size()), source.data(), 1, destination.data(), 1);
// Keep the backend operation in this translation unit so public ownership
// remains independent of MKL headers and integer types.
cblas_dcopy(ToMklSize(source.size()), source.data(), 1, destination.data(),
1);
}
} // namespace
} // namespace
Vector::Vector(const std::size_t size, const double value)
: values_(size, value) {}
Vector::Vector(const Vector& other)
: values_(other.size()) {
copyValues(other.values_, values_);
Vector::Vector(const Vector& other) : values_(other.Size()) {
CopyValues(other.values_, values_);
}
Vector::Vector(Vector&& other) noexcept
: values_(std::move(other.values_)) {
other.values_.clear();
Vector::Vector(Vector&& other) noexcept : values_(std::move(other.values_)) {
other.values_.clear();
}
Vector& Vector::operator=(const Vector& other) {
if (this != &other) {
std::vector<double> copied(other.size());
copyValues(other.values_, copied);
values_.swap(copied);
}
return *this;
if (this != &other) {
std::vector<double> copied(other.Size());
CopyValues(other.values_, copied);
values_.swap(copied);
}
return *this;
}
Vector& Vector::operator=(Vector&& other) noexcept {
if (this != &other) {
values_ = std::move(other.values_);
other.values_.clear();
}
return *this;
if (this != &other) {
values_ = std::move(other.values_);
other.values_.clear();
}
return *this;
}
std::size_t Vector::size() const noexcept {
return values_.size();
}
std::size_t Vector::Size() const noexcept { return values_.size(); }
double* Vector::data() noexcept {
return values_.data();
}
double* Vector::Data() noexcept { return values_.data(); }
const double* Vector::data() const noexcept {
return values_.data();
}
const double* Vector::Data() const noexcept { return values_.data(); }
double& Vector::operator[](const std::size_t index) {
return values_.at(index);
return values_.at(index);
}
const double& Vector::operator[](const std::size_t index) const {
return values_.at(index);
return values_.at(index);
}
double Vector::dot(const Vector& rhs) const {
if (size() != rhs.size()) {
throw std::invalid_argument{"Vector dot product requires equal dimensions."};
}
if (values_.empty()) {
return 0.0;
}
double Vector::Dot(const Vector& rhs) const {
if (Size() != rhs.Size()) {
throw std::invalid_argument{
"Vector dot product requires equal dimensions."};
}
if (values_.empty()) {
return 0.0;
}
return cblas_ddot(toMklSize(size()), data(), 1, rhs.data(), 1);
return cblas_ddot(ToMklSize(Size()), Data(), 1, rhs.Data(), 1);
}
double Vector::norm() const {
if (values_.empty()) {
return 0.0;
}
double Vector::Norm() const {
if (values_.empty()) {
return 0.0;
}
return cblas_dnrm2(toMklSize(size()), data(), 1);
return cblas_dnrm2(ToMklSize(Size()), Data(), 1);
}
void Vector::scale(const double alpha) {
if (values_.empty()) {
return;
}
void Vector::Scale(const double alpha) {
if (values_.empty()) {
return;
}
cblas_dscal(toMklSize(size()), alpha, data(), 1);
cblas_dscal(ToMklSize(Size()), alpha, Data(), 1);
}
void Vector::axpy(const double alpha, const Vector& x) {
if (size() != x.size()) {
throw std::invalid_argument{"Vector axpy requires equal dimensions."};
}
if (values_.empty()) {
return;
}
void Vector::Axpy(const double alpha, const Vector& x) {
if (Size() != x.Size()) {
throw std::invalid_argument{"Vector axpy requires equal dimensions."};
}
if (values_.empty()) {
return;
}
cblas_daxpy(toMklSize(size()), alpha, x.data(), 1, data(), 1);
cblas_daxpy(ToMklSize(Size()), alpha, x.Data(), 1, Data(), 1);
}
} // namespace fesa
} // namespace fesa